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LocalControl: An R Package for Comparative Safety and Effectiveness Research
The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes.
While designed and appropriate for use in comparative safety and effectiveness…
While designed and appropriate for use in comparative safety and effectiveness…
logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations
This paper introduces the logitr R package for fast maximum likelihood estimation of
multinomial logit and mixed logit models with unobserved heterogeneity across individuals, which is modeled by allowing parameters to vary randomly over individuals…
multinomial logit and mixed logit models with unobserved heterogeneity across individuals, which is modeled by allowing parameters to vary randomly over individuals…
Long-term prognosis and clinical course of choking-induced cardiac arrest in patients without the return of spontaneous circulation at hospital arrival: a population-based community study from the Shizuoka Kokuho Database
Background: The risk of choking increases with aging, and the number of cases of choking-induced cardiac arrest
is increasing. However, few studies have examined the prognosis of choking-induced cardiac arrest. The aim of this
study was to reveal…
is increasing. However, few studies have examined the prognosis of choking-induced cardiac arrest. The aim of this
study was to reveal…
Longitudinal Social Grooming Transition Patterns on Facebook, Social Capital, and Well-Being
The longitudinal associations between Facebook use and well-being have received limited exploration with mixed results. We argue that the transition pattern of an individual’s social grooming
style based on five social grooming behaviors at…
style based on five social grooming behaviors at…
LoVi App: Android Application-based Image Classification for Low Vision
In Indonesia, many people with visual impairments are drawingpublic attention to their rights as fellow humans. One of the limitations that individuals with low vision face is their ability to recognize objects and navigate their…
lpdensity: Local Polynomial Density Estimation and Inference
Density estimation and inference methods are widely used in empirical work. When
the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their…
the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their…
LRDDoS Attack Detection on SD-IoT Using Random Forest with Logistic
Regression Coefficient
Software Defined Internet of Things (SD-IoT) is currently developed extensively. The architecture of the Software Defined
Network (SDN) allows Internet of Things (IoT) networks to separate control and data delivery areas into different…
Network (SDN) allows Internet of Things (IoT) networks to separate control and data delivery areas into different…
lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
Machine heuristic: concept explication and development of
a measurement scale
Human assumption of superior performance by machines has a long history, resulting in the concept of “machine heuristic” (MH), which is a
mental shortcut that individuals apply to automated systems. This article provides a formal explication of this…
mental shortcut that individuals apply to automated systems. This article provides a formal explication of this…
MACHINE LEARNING FOR DATA CLASSIFICATION IN INDONESIA REGIONAL ELECTIONS BASED ON POLITICAL PARTIES SUPPORT
In this paper, we discuss the implementation of Machine Learning (ML) to predict the victory of
candidates in Regional Elections in Indonesia based on data taken from General Election Commission
(KPU). The data consist of composition of political…
candidates in Regional Elections in Indonesia based on data taken from General Election Commission
(KPU). The data consist of composition of political…